Common European Data Spaces and Robust AI for Transparent Public Governance
GOAL 1 - IDENTIFY
Collect, generate, harmonise, synchronise, protect, and share new large-scale, high-quality, high-value datasets.
GOAL 2 - BUILD
Improve methods and tools for effective data management and machine learning (ML) operations (DataOps, MLOps).
GOAL 3 - DEVELOP
New data analytics and machine learning methods for robust, data-efficient, human-centric, and well-informed decision making.
GOAL 4 - VALIDATE
Promote CEDAR results with relevant public and private stakeholders and generate direct and tangible impacts on the European economy, society, and environment.